IDEAS home Printed from https://ideas.repec.org/p/ctw/wpaper/04090.html
   My bibliography  Save this paper

Homing in on the Core – Households Incomes, Income Sources and Geography in South Africa

Author

Listed:
  • Sten Dieden

    (Riso National Laboratory)

Abstract

The focus of this study is on household income generation among previously disadvantaged households in South Africa. Previous research has found that poverty among South African households was associated with the extent to which workers and their dependants were integrated into the South African core economy. This study investigates whether a similar conception can be ascertained in multivariate regression analysis. Households’ income sources are divided into categories that reflect differing extents of association with the core economy. Ensuing further justification by results from descriptive analyses, the income source categories are utilised as explanatory variables to investigate whether inter-household variation in income sources can explain variation in income levels. For the latter purposes, the results from the estimation of three reduced form models are compared. All three models have households’ log-income levels as dependent variables and share a set of household characteristics as explanatory variables. Two of the models are two-stage specifications that use provincial locations in the construction of instruments for income source categories. The third specification contains no income source variables but includes provincial locations as explanatory variables. The results show that, as compared to the specification with provincial locations, income sources can be incorporated as explanatory variables into multivariate regression analyses without considerable loss of explanatory power. Controls for endogeneity must however be applied. The partial impacts from income sources are statistically significant and their signs are in accordance with expectations. For some income sources the magnitudes of the impacts are not in correspondence with what may be expected from the descriptive analysis. The latter results suggest that households in different main income source categories also differ systematically in their demographic and educational endowments. When assimilated with results from the descriptive analyses, the estimated partial impacts from the different provinces support this interpretation.

Suggested Citation

  • Sten Dieden, 2004. "Homing in on the Core – Households Incomes, Income Sources and Geography in South Africa," Working Papers 04090, University of Cape Town, Development Policy Research Unit.
    • Handle: RePEc:ctw:wpaper:04090
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11427/7374
    File Function: First version, 2004
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carter, Michael R. & May, Julian, 1999. "Poverty, livelihood and class in rural South Africa," World Development, Elsevier, vol. 27(1), pages 1-20, January.
    2. Reardon, Thomas, 1997. "Using evidence of household income diversification to inform study of the rural nonfarm labor market in Africa," World Development, Elsevier, vol. 25(5), pages 735-747, May.
    3. Geda, A. & de Jong, N. & Mwabu, G. & Kimenyi, M.S., 2001. "Determinants of poverty in Kenya : a household level analysis," ISS Working Papers - General Series 19095, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. Leibbrandt, Murray & Woolard, Christopher & Woolard, Ingrid, 2000. "The Contribution of Income Components to Income Inequality in the Rural Former Homelands of South Africa: A Decomposable Gini Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 9(1), pages 79-99, March.
    7. Simon Appleton, 2001. "‘The Rich Are Just Like Us, Only Richer’: Poverty Functions or Consumption Functions?," Journal of African Economies, Centre for the Study of African Economies, vol. 10(4), pages 433-469.
    8. Ellis, Frank, 2000. "Rural Livelihoods and Diversity in Developing Countries," OUP Catalogue, Oxford University Press, number 9780198296966.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sten Dieden, 2003. "Integration into the South African Core Economy: Household Level Covariates," SALDRU/CSSR Working Papers 054, Southern Africa Labour and Development Research Unit, University of Cape Town.
    2. Md.Salamun Rashidin & Sara Javed & Bin Liu & Wang Jian, 2020. "Ramifications of Households’ Nonfarm Income on Agricultural Productivity: Evidence From a Rural Area of Pakistan," SAGE Open, , vol. 10(1), pages 21582440209, January.
    3. Barrett, Christopher B. & Bezuneh, Mesfin & Aboud, Abdillahi, 2001. "Income diversification, poverty traps and policy shocks in Cote d'Ivoire and Kenya," Food Policy, Elsevier, vol. 26(4), pages 367-384, August.
    4. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    5. Marcela Parada-Contzen & Andrés Riquelme-Won & Felipe Vasquez-Lavin, 2013. "The value of a statistical life in Chile," Empirical Economics, Springer, vol. 45(3), pages 1073-1087, December.
    6. Rodríguez-Pose, Andrés & Tselios, Vassilis & Winkler, Deborah & Farole, Thomas, 2013. "Geography and the Determinants of Firm Exports in Indonesia," World Development, Elsevier, vol. 44(C), pages 225-240.
    7. Xiaohong Chen & Andres Santos, 2018. "Overidentification in Regular Models," Econometrica, Econometric Society, vol. 86(5), pages 1771-1817, September.
    8. Jan Fałkowski & Maciej Jakubowski & Paweł Strawiński, 2014. "Returns from income strategies in rural Poland," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 22(1), pages 139-178, January.
    9. Soltani, Arezoo & Angelsen, Arild & Eid, Tron & Naieni, Mohammad Saeid Noori & Shamekhi, Taghi, 2012. "Poverty, sustainability, and household livelihood strategies in Zagros, Iran," Ecological Economics, Elsevier, vol. 79(C), pages 60-70.
    10. Jia, Lili, 2012. "Land fragmentation and off-farm labor supply in China," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 66, number 66.
    11. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    12. Abdul Latif Alhassan & Noluyolo Magazi, 2021. "Microinsurance and household asset welfare in South Africa," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(3), pages 358-382, July.
    13. Shekar Bose & Amina Marhoon Rashid Al Naabi & Houcine Boughanmi & Jaynab Begum Yousuf, 2019. "Domestic Ban Versus Border Rejections: A Case of Oman’s Fish Exports to the EU," SAGE Open, , vol. 9(1), pages 21582440188, January.
    14. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Incomplete panels and selection bias : A survey," Discussion Paper 1992-7, Tilburg University, Center for Economic Research.
    15. Amalesh Sharma & V. Kumar & Jun Yan & Sourav Bikash Borah & Anirban Adhikary, 2019. "Understanding the structural characteristics of a firm’s whole buyer–supplier network and its impact on international business performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(3), pages 365-392, April.
    16. Zheng, Yanfeng & Liu, Jing & George, Gerard, 2010. "The dynamic impact of innovative capability and inter-firm network on firm valuation: A longitudinal study of biotechnology start-ups," Journal of Business Venturing, Elsevier, vol. 25(6), pages 593-609, November.
    17. Salmon, Claire & Tanguy, Jeremy, 2016. "Rural Electrification and Household Labor Supply: Evidence from Nigeria," World Development, Elsevier, vol. 82(C), pages 48-68.
    18. Walker, Thomas S. & Tschirley, David L. & Low, Jan W. & Tanque, M. Pequentino & Boughton, Duncan & Payongayong, Ellen M. & Weber, Michael T., 2004. "Determinants of Rural Income, Poverty, and Perceived Well-Being in Mozambique in 2001-2002," Food Security Collaborative Working Papers 56061, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    19. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    20. Zhang, Qi & Bilsborrow, Richard E. & Song, Conghe & Tao, Shiqi & Huang, Qingfeng, 2019. "Rural household income distribution and inequality in China: Effects of payments for ecosystem services policies and other factors," Ecological Economics, Elsevier, vol. 160(C), pages 114-127.

    More about this item

    Keywords

    South Africa: log-income levels; household income; multivariate regression analyses;
    All these keywords.

    JEL classification:

    • A1 - General Economics and Teaching - - General Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ctw:wpaper:04090. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Waseema Petersen (email available below). General contact details of provider: https://edirc.repec.org/data/dpuctza.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.